Triple
T27682340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacobi eigenvalue algorithm |
E697940
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | matrix diagonalization method |
C410
|
CONCEPT FINISHED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: matrix diagonalization method Context triple: [Jacobi eigenvalue algorithm, instanceOf, matrix diagonalization method]
-
A.
mathematical method
chosen
A mathematical method is a systematic procedure or algorithm used to solve problems, prove results, or analyze structures within mathematics.
-
B.
method in differential equations
A method in differential equations is a systematic procedure or algorithm used to find exact or approximate solutions to equations involving unknown functions and their derivatives.
-
C.
result in linear algebra
In linear algebra, a result is a proven statement or conclusion—such as a theorem, lemma, or corollary—that follows logically from definitions and previously established facts about vectors, matrices, and linear transformations.
-
D.
stationary iterative method
A stationary iterative method is a numerical algorithm for solving linear systems that repeatedly updates an approximate solution using a fixed iteration matrix and rule that do not change between iterations.
-
E.
numerical integration method for ordinary differential equations
A numerical integration method for ordinary differential equations is an algorithmic procedure that approximates the solution of an ODE over discrete steps by iteratively updating the dependent variable using information about its derivative.
- F. None of above.
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ef590df8708190af5488f0638e790c |
completed | April 27, 2026, 12:39 p.m. |
Created at: April 27, 2026, 2:47 p.m.